Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: The timely identification and transfer of critically ill patients from the emergency dep...
Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for me...
Medical image segmentation is a fundamental task in many clinical applications, yet current automate...
Self-supervised learning (SSL) is a challenging task in sleep stage classification (SSC) that is cap...
Identifying circular RNA (circRNA)-drug sensitivity association (CDsA) is crucial for advancing drug...
This work tackles the automatic prediction of grasping intention of humans observing their environme...
Traffic flow prediction is an important part of transportation management and planning. For example,...
BACKGROUND: Acinetobacter baumanni infection is a leading cause of morbidity and mortality in the In...
BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...
Although recent advancements have shed light on the crucial role of coordinated evolution among cell...
Multi-modality imaging is widely used in clinical practice and biomedical research to gain a compreh...
Multi-omics approaches are revolutionizing cancer research and treatment by integrating single-modal...
Diagnostic errors pose a significant public health challenge, affecting nearly 800,000 Americans ann...
Purpose: This study aims to establish and validate machine learning-based models to predict death in...
Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, whic...
In modern medical imaging-assisted therapies, manual annotation is commonly employed for liver and t...
Superimposing visible watermarks on images is an efficient way to indicate ownership and prevent pot...
BACKGROUND: Suicide is a leading cause of death worldwide, making early identification of suicidal b...
Array-based sensing technology holds immense potential for discerning the intricacies of biological ...
Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory d...
Gait recognition is a behavioral biometric technique that identifies individuals based on their uniq...